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Enterprise Data Management is the global function that facilitates the management of data as an asset of an organization. Its collection of components aligns to provide the capabilities to manage data as an organization resource, and to address data management challenges and implement data management best practices. It is important to use an industry standard and vendor-neutral data management framework to understand and implement an effective enterprise data management program with the correct data management components.
Data Literacy is the ability to read, work with, analyze, and argue with data. Much like literacy as a general concept, data literacy focuses on
Since a Data Office has become a reality in many organizations, what are the foundational components of a successful data office? Moving towards a data-centric
Application of data management fundamentals in a changing environment will contribute to a winning record Introduction In the movie Bull Durham the manager of the
Every organization, in every industry, should adopt a data-literate culture. What does that mean? How can data literacy be socialized in existing organizations? In many
Development of a data-centric enterprise architecture requires a new approach to data management, one that respects business requirements. Moving toward a data-centric enterprise architecture also
Every effective enterprise data strategy should consist of an analysis of the organization’s people, processes, technology, and organizational structure – and follow proven implementation steps.
Organizations that want to realize the value of their data and information as enterprise assets should consider forming and sustaining an Enterprise Data / Information
There is no difference between requirements for agile projects and those for traditional projects. Therefore, the preferred phrase should be “requirements for agile projects” Agile
Data and business analytics, blockchain, data science, big data management, and other trends in data management and technology will enable efficiencies in risk management and
The concept of enterprise information management includes all the disciplines that allow an organization to manage data and information as assets for a variety of
Every organization needs a data strategy to develop and use the value of its data and information assets. Developing a data strategy requires executive commitment
Certification is an essential component of any professional career path. Every data management professional should earn the Data Management Professional designation. Introduction Data management professionals
